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Local Chapter project

EcoSmart AI: Enhancing Dhaka’s Air Quality through Sustainable and Strategic Urban Greening

Computer VisionEDAGeospatial Data
Start date
February 28, 2025
Finish date
June 20, 2025
Project status
completed
EcoSmart AI: Enhancing Dhaka’s Air Quality through Sustainable and Strategic Urban Greening

Challenge background

Dhaka, the bustling capital of Bangladesh, grapples with severe environmental challenges stemming from rapid urbanization and escalating air pollution. Over the past three decades, the city has witnessed a staggering 66% decline in green spaces, as reported by TBS News. This dramatic reduction in greenery has intensified environmental concerns, including deteriorating air quality, rising urban heat, and increasing public health risks.

In 2024, Dhaka endured a record-breaking heatwave with temperatures soaring to 42°C (108°F), a full 6 degrees above the annual average, as documented by Wikipedia. Compounding this, the country experienced 57 additional days of extreme heat over the past year, as highlighted by the Dhaka Tribune. Such conditions have placed immense strain on public health and disrupted daily life for millions.

Moreover, Dhaka ranks among the cities with the worst air quality worldwide, consistently recording hazardous levels of particulate matter (PM2.5 and PM10), according to IQAir. The interplay of these factors underscores the urgent need for innovative solutions to address the city’s environmental crises, with a focus on restoring green spaces and improving air quality for a sustainable future.

The problem

Dhaka’s air quality frequently surpasses safe thresholds, presenting significant health hazards for its population. Prolonged exposure to high levels of air pollutants, such as PM2.5 and PM10, is linked to respiratory illnesses, cardiovascular diseases, and a rise in premature deaths. The situation is exacerbated by the acute shortage of green spaces in the city, which are vital for improving environmental conditions. Trees and vegetation act as natural air filters, absorbing harmful pollutants like carbon dioxide, sulfur dioxide, and nitrogen oxides while releasing oxygen. Additionally, they provide shade and cooling effects, which are essential for mitigating the urban heat island phenomenon—a growing concern in Dhaka’s densely built environment.

The city’s dwindling greenery highlights the pressing need for a systematic approach to urban greening. Experts recommend that urban areas maintain a minimum of 2.9% of their total land as green spaces to support environmental and public health. However, Dhaka lags far behind this benchmark, with its green coverage critically low, as noted by TBS News. The lack of adequate tree cover not only worsens air pollution but also contributes to higher surface temperatures, further straining the city’s resources and impacting the quality of life for its residents. Addressing these challenges requires a data-driven strategy to identify priority areas for reforestation, optimize land use, and promote community involvement in urban greening initiatives.

Goal of the project

1. Developing an AI-Based System for GIS Analysis

Create an advanced AI-powered system that utilizes Geographic Information System (GIS) data to assess the distribution of green spaces across Dhaka. This system will analyze high-resolution satellite imagery, urban land-use maps, and environmental data to pinpoint areas with inadequate greenery. By identifying critical regions that lack sufficient tree cover, the system can guide targeted interventions to address the city’s pressing environmental challenges.

2. Optimizing Tree Plantation Strategies

Design algorithms to recommend the most suitable tree species and ideal planting locations based on local environmental conditions, soil quality, climate, and air pollution levels. These species should maximize benefits such as carbon sequestration, pollutant filtration, and urban cooling. Additionally, the system will prioritize areas with high population density and poor air quality, ensuring an equitable and impactful greening strategy that improves overall air quality and urban resilience.

3. Real-Time Monitoring and Reporting

Implement a monitoring framework that uses IoT-enabled sensors and real-time environmental data to track changes in air quality and the distribution of green spaces. This system will provide regular updates on improvements, allowing stakeholders to measure the impact of tree plantations and adapt strategies as needed. A dashboard interface can display key metrics such as reductions in PM2.5 levels, temperature variations, and green space growth trends, empowering policymakers with actionable insights.

4. Community Engagement and Awareness

Foster community involvement by organizing tree planting drives and educational campaigns on the importance of urban greenery. Engage schools, local organizations, and businesses in collaborative efforts to sustain green spaces. Gamify participation through incentives, such as recognition for planting the most trees or maintaining green areas, to encourage long-term commitment. Increased public awareness and participation will ensure the preservation and expansion of urban green spaces, making Dhaka a healthier and more sustainable city.

Project timeline

  1. 1

    Week 1

    • Subtask 1: Identify sources for satellite imagery and GIS data
    • Subtask 2: Gather urban land-use maps and environmental data from local agencies
    • Subtask 3: Validate and clean raw data collected from external sources
    • Subtask 4: Organize and structure data into a standardized format
  2. 2

    Week 2

    • Subtask 1: Handle missing values in the collected data
    • Subtask 2: Remove outliers and inconsistencies from datasets
    • Subtask 3: Format data into GIS-compatible structures for analysis
    • Subtask 4: Normalize and scale datasets for uniformity
    • Subtask 5: Generate features for vegetation health analysis using NDVI
    • Subtask 6: Derive features for soil quality, climate, and pollution impact
    • Subtask 7: Combine features to prioritize urban greening opportunities
  3. 3

    Week 3

    • Subtask 1: Visualize GIS data to identify regions lacking greenery
    • Subtask 2: Analyze air quality and urban population data correlations
    • Subtask 3: Build machine learning models to recommend tree planting strategies
    • Subtask 4: Evaluate model performance using validation datasets
  4. 4

    Week 4

    • Subtask 1: Develop APIs for real-time recommendations
    • Subtask 2: Integrate IoT sensor data for monitoring air quality changes
    • Subtask 3: Deploy the dashboard to track progress and display key metrics

What you'll learn

  1. Understanding of GIS and AI technologies: Learn how to use GIS data and AI algorithms for urban planning and environmental management.
  2. Data Analysis Skills: Develop skills in analyzing environmental data and generating actionable insights.
  3. Environmental Impact Assessment: Assess the impact of green spaces on air quality and public health.
  4. Community Engagement: Learn strategies for involving local communities in sustainability initiatives.

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.